A CNN-assisted enhanced audio signal processing for speech emotion recognition
Speech is the most significant mode of communication among human beings and a potential
method for human-computer interaction (HCI) by using a microphone sensor. Quantifiable …
method for human-computer interaction (HCI) by using a microphone sensor. Quantifiable …
Att-Net: Enhanced emotion recognition system using lightweight self-attention module
S Kwon - Applied Soft Computing, 2021 - Elsevier
Speech emotion recognition (SER) is an active research field of digital signal processing
and plays a crucial role in numerous applications of Human–computer interaction (HCI) …
and plays a crucial role in numerous applications of Human–computer interaction (HCI) …
Human‐Computer Interaction with Detection of Speaker Emotions Using Convolution Neural Networks
AA Alnuaim, M Zakariah, A Alhadlaq… - Computational …, 2022 - Wiley Online Library
Emotions play an essential role in human relationships, and many real‐time applications
rely on interpreting the speaker's emotion from their words. Speech emotion recognition …
rely on interpreting the speaker's emotion from their words. Speech emotion recognition …
Wildfire detection using sound spectrum analysis based on the internet of things
S Zhang, D Gao, H Lin, Q Sun - Sensors, 2019 - mdpi.com
Wildfire is a sudden and hazardous natural disaster. Currently, many schemes based on
optical spectrum analysis have been proposed to detect wildfire, but obstacles in forest …
optical spectrum analysis have been proposed to detect wildfire, but obstacles in forest …
Exploring symmetry of binary classification performance metrics
Selecting the proper performance metric constitutes a key issue for most classification
problems in the field of machine learning. Although the specialized literature has addressed …
problems in the field of machine learning. Although the specialized literature has addressed …
Cyber-physical system for environmental monitoring based on deep learning
Cyber-physical systems (CPS) constitute a promising paradigm that could fit various
applications. Monitoring based on the Internet of Things (IoT) has become a research area …
applications. Monitoring based on the Internet of Things (IoT) has become a research area …
Optimizing the design of a vocal teaching platform based on big data feature analysis of the audio spectrum
J Hao - Wireless Communications and Mobile Computing, 2022 - Wiley Online Library
With the development of electronics and communication technology, digital audio
processing technologies such as digital audio broadcasting and multimedia communication …
processing technologies such as digital audio broadcasting and multimedia communication …
Improving classification algorithms by considering score series in wireless acoustic sensor networks
The reduction in size, power consumption and price of many sensor devices has enabled
the deployment of many sensor networks that can be used to monitor and control several …
the deployment of many sensor networks that can be used to monitor and control several …
Is it possible to determine antibiotic resistance of E. coli by analyzing laboratory data with machine learning?
Objectives Microbial antibiotic resistance remains a serious public health problem
worldwide. Conventional culture-based techniques are time-taking procedures; therefore …
worldwide. Conventional culture-based techniques are time-taking procedures; therefore …
Analysis Of Variation In The Number Of MFCC Features In Contrast To LSTM In The Classification Of English Accent Sounds
Various studies have been carried out to classify English accents using traditional classifiers
and modern classifiers. In general, research on voice classification and voice recognition …
and modern classifiers. In general, research on voice classification and voice recognition …